Takip et
Louis Wehenkel
Louis Wehenkel
Professor of EE&CS, Montefiore Institute, ULiège - University of Liège
ulg.ac.be üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Extremely randomized trees
P Geurts, D Ernst, L Wehenkel
Machine learning 63, 3-42, 2006
93382006
Inferring regulatory networks from expression data using tree-based methods
VA Huynh-Thu, A Irrthum, L Wehenkel, P Geurts
PLoS One 5 (9), e12776, 2010
20602010
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature Methods, 796–804, 2012
19262012
Tree-based batch mode reinforcement learning
D Ernst, P Geurts, L Wehenkel
Journal of Machine Learning Research 6, 503-556, 2005
15562005
Understanding variable importances in forests of randomized trees
G Louppe, L Wehenkel, A Sutera, P Geurts
Advances in neural information processing systems 26, 2013
14212013
State-of-the-art, challenges, and future trends in security constrained optimal power flow
F Capitanescu, JLM Ramos, P Panciatici, D Kirschen, AM Marcolini, ...
Electric power systems research 81 (8), 1731-1741, 2011
5952011
A complete fuzzy decision tree technique
C Olaru, L Wehenkel
Fuzzy sets and systems 138 (2), 221-254, 2003
5932003
Automatic learning techniques in power systems
LA Wehenkel
Springer Science & Business Media, 1998
4191998
Random subwindows for robust image classification
R Marée, P Geurts, J Piater, L Wehenkel
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
3442005
Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions
S Fliscounakis, P Panciatici, F Capitanescu, L Wehenkel
IEEE Transactions on Power Systems 28 (4), 4909-4917, 2013
3272013
Power systems stability control: reinforcement learning framework
D Ernst, M Glavic, L Wehenkel
IEEE transactions on power systems 19 (1), 427-435, 2004
2992004
Supervised learning with decision tree-based methods in computational and systems biology
P Geurts, A Irrthum, L Wehenkel
Molecular Biosystems 5 (12), 1593-1605, 2009
2842009
Reinforcement learning versus model predictive control: a comparison on a power system problem
D Ernst, M Glavic, F Capitanescu, L Wehenkel
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
2702008
Contingency filtering techniques for preventive security-constrained optimal power flow
F Capitanescu, M Glavic, D Ernst, L Wehenkel
IEEE Transactions on Power Systems 22 (4), 1690-1697, 2007
2452007
A machine learning-based approximation of strong branching
A Marcos Alvarez, Q Louveaux, L Wehenkel
INFORMS Journal on Computing 29 (1), 185-195, 2017
2422017
Interior-point based algorithms for the solution of optimal power flow problems
F Capitanescu, M Glavic, D Ernst, L Wehenkel
Electric Power systems research 77 (5-6), 508-517, 2007
2412007
Recent developments in machine learning for energy systems reliability management
L Duchesne, E Karangelos, L Wehenkel
Proceedings of the IEEE 108 (9), 1656-1676, 2020
2252020
An artificial intelligence framework for online transient stability assessment of power systems
L Wehenkel, T Van Cutsem, M Ribbens-Pavella
IEEE Transactions on Power Systems 4 (2), 789-800, 1989
2111989
SIME: A hybrid approach to fast transient stability assessment and contingency selection
Y Zhang, L Wehenkel, P Rousseaux, M Pavella
International Journal of Electrical Power & Energy Systems 19 (3), 195-208, 1997
2071997
Collaborative analysis of multi-gigapixel imaging data using Cytomine
R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ...
Bioinformatics 32 (9), 1395-1401, 2016
2042016
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